Delves into the energy-efficient distributed machine learning approach in the IoT era, emphasizing the importance of summarizing data for improved communication energy efficiency.
Explores nanobiosensors for distributed diagnostics, highlighting advancements in biomedical circuits and systems and the challenges in developing wearable sensors.
Explores trajectory forecasting in autonomous vehicles, focusing on deep learning models for predicting human trajectories in socially-aware transportation scenarios.
Explores perception in deep learning for autonomous vehicles, covering image classification, optimization methods, and the role of representation in machine learning.
Explores emotion theories, applications, and predictive models in affective computing, analyzing NSF funding trends, emotion impact on education and medicine, and emotion detection through physiological signals and visual data.
Explores the evolution and impact of the Internet of Things, discussing the potential of technology in revolutionizing various sectors and emphasizing the importance of collaboration between developers and medical professionals.
